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+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of the copyright holders may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#ifndef OPENCV_SUPERRES_HPP
+#define OPENCV_SUPERRES_HPP
+
+#include "opencv2/core.hpp"
+#include "opencv2/superres/optical_flow.hpp"
+
+/**
+ @defgroup superres Super Resolution
+
+The Super Resolution module contains a set of functions and classes that can be used to solve the
+problem of resolution enhancement. There are a few methods implemented, most of them are descibed in
+the papers @cite Farsiu03 and @cite Mitzel09 .
+
+ */
+
+namespace cv
+{
+ namespace superres
+ {
+
+//! @addtogroup superres
+//! @{
+
+ class CV_EXPORTS FrameSource
+ {
+ public:
+ virtual ~FrameSource();
+
+ virtual void nextFrame(OutputArray frame) = 0;
+ virtual void reset() = 0;
+ };
+
+ CV_EXPORTS Ptr<FrameSource> createFrameSource_Empty();
+
+ CV_EXPORTS Ptr<FrameSource> createFrameSource_Video(const String& fileName);
+ CV_EXPORTS Ptr<FrameSource> createFrameSource_Video_CUDA(const String& fileName);
+
+ CV_EXPORTS Ptr<FrameSource> createFrameSource_Camera(int deviceId = 0);
+
+ /** @brief Base class for Super Resolution algorithms.
+
+ The class is only used to define the common interface for the whole family of Super Resolution
+ algorithms.
+ */
+ class CV_EXPORTS SuperResolution : public cv::Algorithm, public FrameSource
+ {
+ public:
+ /** @brief Set input frame source for Super Resolution algorithm.
+
+ @param frameSource Input frame source
+ */
+ void setInput(const Ptr<FrameSource>& frameSource);
+
+ /** @brief Process next frame from input and return output result.
+
+ @param frame Output result
+ */
+ void nextFrame(OutputArray frame);
+ void reset();
+
+ /** @brief Clear all inner buffers.
+ */
+ virtual void collectGarbage();
+
+ //! @brief Scale factor
+ /** @see setScale */
+ virtual int getScale() const = 0;
+ /** @copybrief getScale @see getScale */
+ virtual void setScale(int val) = 0;
+
+ //! @brief Iterations count
+ /** @see setIterations */
+ virtual int getIterations() const = 0;
+ /** @copybrief getIterations @see getIterations */
+ virtual void setIterations(int val) = 0;
+
+ //! @brief Asymptotic value of steepest descent method
+ /** @see setTau */
+ virtual double getTau() const = 0;
+ /** @copybrief getTau @see getTau */
+ virtual void setTau(double val) = 0;
+
+ //! @brief Weight parameter to balance data term and smoothness term
+ /** @see setLabmda */
+ virtual double getLabmda() const = 0;
+ /** @copybrief getLabmda @see getLabmda */
+ virtual void setLabmda(double val) = 0;
+
+ //! @brief Parameter of spacial distribution in Bilateral-TV
+ /** @see setAlpha */
+ virtual double getAlpha() const = 0;
+ /** @copybrief getAlpha @see getAlpha */
+ virtual void setAlpha(double val) = 0;
+
+ //! @brief Kernel size of Bilateral-TV filter
+ /** @see setKernelSize */
+ virtual int getKernelSize() const = 0;
+ /** @copybrief getKernelSize @see getKernelSize */
+ virtual void setKernelSize(int val) = 0;
+
+ //! @brief Gaussian blur kernel size
+ /** @see setBlurKernelSize */
+ virtual int getBlurKernelSize() const = 0;
+ /** @copybrief getBlurKernelSize @see getBlurKernelSize */
+ virtual void setBlurKernelSize(int val) = 0;
+
+ //! @brief Gaussian blur sigma
+ /** @see setBlurSigma */
+ virtual double getBlurSigma() const = 0;
+ /** @copybrief getBlurSigma @see getBlurSigma */
+ virtual void setBlurSigma(double val) = 0;
+
+ //! @brief Radius of the temporal search area
+ /** @see setTemporalAreaRadius */
+ virtual int getTemporalAreaRadius() const = 0;
+ /** @copybrief getTemporalAreaRadius @see getTemporalAreaRadius */
+ virtual void setTemporalAreaRadius(int val) = 0;
+
+ //! @brief Dense optical flow algorithm
+ /** @see setOpticalFlow */
+ virtual Ptr<cv::superres::DenseOpticalFlowExt> getOpticalFlow() const = 0;
+ /** @copybrief getOpticalFlow @see getOpticalFlow */
+ virtual void setOpticalFlow(const Ptr<cv::superres::DenseOpticalFlowExt> &val) = 0;
+
+ protected:
+ SuperResolution();
+
+ virtual void initImpl(Ptr<FrameSource>& frameSource) = 0;
+ virtual void processImpl(Ptr<FrameSource>& frameSource, OutputArray output) = 0;
+
+ bool isUmat_;
+
+ private:
+ Ptr<FrameSource> frameSource_;
+ bool firstCall_;
+ };
+
+ /** @brief Create Bilateral TV-L1 Super Resolution.
+
+ This class implements Super Resolution algorithm described in the papers @cite Farsiu03 and
+ @cite Mitzel09 .
+
+ Here are important members of the class that control the algorithm, which you can set after
+ constructing the class instance:
+
+ - **int scale** Scale factor.
+ - **int iterations** Iteration count.
+ - **double tau** Asymptotic value of steepest descent method.
+ - **double lambda** Weight parameter to balance data term and smoothness term.
+ - **double alpha** Parameter of spacial distribution in Bilateral-TV.
+ - **int btvKernelSize** Kernel size of Bilateral-TV filter.
+ - **int blurKernelSize** Gaussian blur kernel size.
+ - **double blurSigma** Gaussian blur sigma.
+ - **int temporalAreaRadius** Radius of the temporal search area.
+ - **Ptr\<DenseOpticalFlowExt\> opticalFlow** Dense optical flow algorithm.
+ */
+ CV_EXPORTS Ptr<SuperResolution> createSuperResolution_BTVL1();
+ CV_EXPORTS Ptr<SuperResolution> createSuperResolution_BTVL1_CUDA();
+
+//! @} superres
+
+ }
+}
+
+#endif // OPENCV_SUPERRES_HPP